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I would really like some or any advice on how I can improve (or fix??) the following analysis. I hope I have provided a completely runnable code - it doesn't produce any errors for me. The resulting plot at the end shows a pretty poor correlation (just speaking visually here) to the test set. How can I improve the performance of the mapping and prediction? Here are some of the data

Dear R-helpers, Apologies in advance for this (probably) simple question. I've searched the R Archive and can't seem to find a solution to my problem. I have a data frame of vegetation quadrat data with the following format: Q S C 1 A 5 1 B 10 1 C 50 1 D 10 2 A 20 2 E 10 2 C 40 3 D 5 3 F 1 3 G 5 3 B 75 Where Q is the sample (vegetation quadrats), S is the species and C is the

Hi, I can't seem to find a function in R that will reverse a BoxCox transformation. Can somebody help me locate one please? Thanks in advance. Best wishes, Des [[alternative HTML version deleted]]

Hi I''m been trying to install an xvm instance on a remote system, but I keep running into variations on ''unable to open display'' I''ve tried to use ssh -X but I''ve not been able to get it to forward when su''d to root. 1) ssh -X -l xadmin virtbox running cload etc works fine. 2a i. su - ii. cp .Xauthority ~xadmin/.Xauthority iii. setenv

I want to configure my zfs like this : concatination_stripe_pool : concatination lun0_controller0 lun1_controller0 concatination lun2_controller1 lun3_controller1 1. There is any option to implement it in ZFS? 2. there is other why to get the same configuration? thanks This message posted from opensolaris.org

Dtrace and Performance Teams, I have the following IO Performance Specific Questions (and I''m already savy with the lockstat and pre-dtrace utilities for performance analysis.. but in need of details regarding specifying IO bottlenecks @ the controller or IO bus..) : **Q.A*> Determining IO Saturation bottlenecks ( */.. beyond service times and kernel contention.. )/ I''m

Dear R-helpers, I'm considering two methods of selecting a poisson regression model within R: 1. Using the step() function (stats package) to find the best model by a stepwise algorithm and AIC 2. Using the bic.glm() function (BMA package) to find the best model by Bayesian Model Averaging and BIC Are these both reasonable methods for model selection or is one clearly more appropriate than

Dear all, I'd like to measure the prediction accuracy of a model I have derived from poisson regression. Can somebody help me with suggesting a good approach please? Thanks very much in advance. Best wishes, Des [[alternative HTML version deleted]]

Dear Forum members, I have created a quasi-poisson model from a training dataset and now wish to use the model to estimate y values for a test dataset, in order to validate the model. The trouble is I can't figure out how to estimate y values for the test set using the model derived from the training set. I've been fiddling about with predict(), but can't seem to get the desired

Dear all, I have a set of data that is 2 columns wide and 35,000 rows long (see extract below). The first column contains codes for tetrads (2km x 2km squares within NW England) and the second column has the names of moss species present within each tetrad. I wish to convert this into a matrix where rows are labelled by 'Tetrad', columns are labelled by 'Moss species' and each